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» Supervised dimensionality reduction using mixture models
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GPB
2010
231views Solid Modeling» more  GPB 2010»
14 years 9 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 1 days ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
PG
2007
IEEE
15 years 6 months ago
Multilinear Motion Synthesis with Level-of-Detail Controls
Interactive animation systems often use a level-of-detail (LOD) control to reduce the computational cost by eliminating unperceivable details of the scene. Most methods employ a m...
Tomohiko Mukai, Shigeru Kuriyama
ICIAP
2003
ACM
15 years 4 months ago
Multi-block PCA method for image change detection
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
B. Qiu, Véronique Prinet, Edith Perrier, Ol...
ICDAR
2009
IEEE
15 years 6 months ago
Impact of Alphabet Knowledge on Online Writer Identification
Character prototype approaches for writer identification produces a consistent set of templates that are used to model the handwriting styles of writers, thereby allowing high acc...
Guo Xian Tan, Christian Viard-Gaudin, Alex C. Kot